CN114166184A - Building inclination monitoring method and system, intelligent terminal and storage medium - Google Patents
Building inclination monitoring method and system, intelligent terminal and storage medium Download PDFInfo
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Abstract
The invention relates to a building gradient monitoring method, a building gradient monitoring system, an intelligent terminal and a storage medium
Unit amount of change of the inclination
The difference is an ideal difference of monitoring results of two continuous gradient monitoring; time node for acquiring gradient monitoring of the (n-2) th time
And monitoring the results
Time node for monitoring inclination for (n-1) th time
And monitoring the results
And determining the angular velocity of the building inclination during the (n-2) th to (n-1) th inclination monitoring
(ii) a Unit change amount according to gradient
And angular velocity of building inclination during the n-2 th inclination monitoring to the n-1 th inclination monitoring
Determining time node for monitoring inclination of nth time
Wherein n is an integer greater than 2. The problem of to high-rise building real-time supervision wasting of resources more is solved in this application, has the effect of real-time regulation monitoring frequency and accurate early warning.
Description
Technical Field
The present application relates to the field of monitoring technologies, and in particular, to a method and a system for monitoring a building inclination, an intelligent terminal, and a storage medium.
Background
Generally, since the floors of a high-rise building are high, the center of gravity of the entire building is high, inclination easily occurs when the building ages are long, and it is more easily affected than a building with a low floor when a geological disaster occurs. Therefore, the inclination of the high-rise building needs to be monitored for a long time, so as to perform early warning when the inclination of the high-rise building reaches a certain angle, thereby avoiding causing a great loss.
In the related art, the monitoring device for the inclination of the high-rise building is usually used for real-time monitoring, and it can be understood that the inclination of the high-rise building may not change for 20 days, 1 month or more under normal conditions. If the monitoring is performed in real time, a large part of resources are wasted.
Disclosure of Invention
The monitoring method for the building inclination can adjust monitoring frequency in real time and has the advantages of saving resources and achieving accurate early warning.
The technical problem must not be explained in detail or absolutely necessary here, but rather should be construed as being obscured and leaving room for further interpretation.
The above object of the present application is achieved by the following technical solutions:
a method of monitoring the inclination of a building, comprising:
setting a unit change quantity of inclination, wherein the unit change quantity of inclination Delta theta is an ideal difference of monitoring results of two successive times of inclination monitoring;
acquiring time node T for monitoring inclination for the (n-2) th timen-2And the monitoring result thetan-2Time node T for monitoring inclination for (n-1) th timen-1And the monitoring result thetan-1And determining the time from the n-2 th inclination monitoring to the n-1 st inclination monitoringAngular velocity ω of building tilt;
determining a time node T of the nth gradient monitoring according to the unit change quantity delta theta of the gradient and the angular speed omega of the building gradient from the nth-2 gradient monitoring to the nth-1 gradient monitoringnWherein n is an integer greater than 2.
By adopting the technical scheme, the time node T for monitoring the nth gradientnThe method is characterized in that the method is jointly determined by the unit change delta theta of the inclination and the angular speed omega of the building inclination from the monitoring of the (n-2) th inclination to the monitoring of the (n-1) th inclination, the angular speed omega of the building inclination in the monitoring of the previous two inclinations is defaulted to be the current inclination speed of the building, the time required by the unit change delta theta of the inclination of the building when the building is inclined again is determined, and the time node T of the monitoring of the nth inclination is further determinednTherefore, the inclination angle of the building is not required to be monitored in real time, resources can be saved, and meanwhile, the inclination angle of the building can be accurately monitored.
The present application may be further configured in a preferred example to: the angular velocity ω of the building inclination during the n-2 th inclination monitoring to the n-1 th inclination monitoring satisfies:
by adopting the technical scheme, wherein thetan-2-θn-1The actual difference of the monitoring results of two successive gradient monitoring is more accurate than the ideal difference.
The present application may be further configured in a preferred example to: time node T for monitoring nth gradientnSatisfies the following conditions:
by adopting the technical scheme, because the angular velocity omega is a more accurate angular velocity, the time node T of the nth gradient monitoring is more accurate and reasonable, and the untimely monitoring at a fixed time interval is avoided.
The present application may be further configured in a preferred example to: also comprises the following steps of (1) preparing,
setting an initial monitoring period;
time node T for obtaining 1 st inclination monitoring1And the monitoring result theta1Then, after the initial monitoring period, acquiring the time node T of the 2 nd inclination monitoring again2And the monitoring result theta2。
The present application may be further configured in a preferred example to: also comprises the following steps of (1) preparing,
setting a slope warning value and an angular speed warning value;
obtaining the monitoring result theta of the nth gradient monitoringn；
Judging the monitoring result theta of the nth gradient monitoringnWhether the inclination is lower than the inclination warning value or not is judged, and if yes, a first alarm signal is output;
and judging whether the angular speed exceeds an angular speed warning value, and if so, outputting a second alarm signal.
Through adopting above-mentioned technical scheme, can not only monitor the gradient, can also monitor the slope process of building for the analysis to building slope orbit is more accurate.
The present application may be further configured in a preferred example to: further comprising:
networking and acquiring news items related to crustal sports in real time, wherein the news items related to the crustal sports comprise a plurality of characteristic information; calling a news influence coefficient model, and determining the influence coefficient of the current news item on the building according to the news item influence coefficient model and various feature information in the current news;
redetermining time node T for monitoring the nth inclination according to influence coefficientsn。
By adopting the technical scheme, the influence of external factors on the inclination of the building can be digitalized, so that the inclination track of the building can be analyzed more accurately.
The present application may be further configured in a preferred example to: the characteristic information includes at least a type, a grade, and a distance.
The second purpose of the application is to provide a monitoring system for building gradient, which can adjust monitoring frequency in real time and has the characteristics of resource saving and accurate early warning.
The second application object of the present application is achieved by the following technical scheme:
a building inclination monitoring system comprises,
the device comprises a presetting module, a monitoring module and a control module, wherein the presetting module is used for setting a gradient unit variation delta theta, the gradient unit variation delta theta is an ideal difference value of monitoring results of two continuous gradient monitoring, and is also used for setting an initial monitoring period, a gradient warning value and an angular speed warning value;
the acquisition module comprises a first module for acquiring the data,
a monitoring data acquisition unit for acquiring time node T of the n-2 th inclination monitoringn-2And the monitoring result thetan-2Time node T for monitoring inclination for (n-1) th timen-1And the monitoring result thetan-1And the monitoring result theta of the nth inclination monitoringnAnd determining an angular velocity ω of the building inclination during the n-2 th inclination monitoring to the n-1 st inclination monitoring, where n is an integer greater than 2; and the number of the first and second groups,
the system comprises a news item acquisition unit, a news item acquisition unit and a news item processing unit, wherein the news item acquisition unit is used for acquiring news items related to crustal sports in real time, and the news items related to the crustal sports comprise various characteristic information;
a determination module for determining a time node T of the nth inclination monitoring according to the unit change quantity delta theta of inclination and the angular speed omega of the building inclination from the nth 2 to the nth 1 inclination monitoringn；
The judging module comprises a judging module and a judging module,
an inclination determination unit for determining the monitoring result theta of the nth inclination monitoringnWhether the inclination is lower than the inclination warning value or not is judged, and if yes, a first alarm signal is output; and the number of the first and second groups,
the angular velocity judging unit is used for judging whether the angular velocity exceeds an angular velocity warning value or not, and if so, outputting a second alarm signal; the influence coefficient determining module is used for calling a news influence coefficient model and determining the influence coefficient of the current news item on the building according to the news item influence coefficient model and various characteristic information in the current news; and the number of the first and second groups,
a re-determining module for re-determining the time node T of the nth gradient monitoring according to the influence coefficientn。
The third purpose of the application is to provide an intelligent terminal, which can adjust the monitoring frequency in real time and has the characteristics of resource saving and accurate early warning.
The third objective of the present application is achieved by the following technical solutions:
an intelligent terminal comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and used for executing the building inclination monitoring method.
The fourth purpose of the application is to provide a computer storage medium, which can store corresponding programs, can adjust monitoring frequency in real time, and has the characteristics of resource saving and accurate early warning.
The fourth application purpose of the present application is achieved by the following technical solutions:
a computer readable storage medium storing a computer program that can be loaded by a processor and that can perform any of the above-described building inclination monitoring methods.
In summary, the present application includes at least one of the following beneficial technical effects:
1. time node T for monitoring inclination of nth timenThe method is characterized in that the method is jointly determined by the unit change delta theta of the inclination and the angular speed omega of the building inclination from the monitoring of the (n-2) th inclination to the monitoring of the (n-1) th inclination, the angular speed omega of the building inclination in the monitoring of the previous two inclinations is defaulted to be the current inclination speed of the building, the time required by the unit change delta theta of the inclination of the building when the building is inclined again is determined, and the time node T of the monitoring of the nth inclination is further determinednTherefore, the inclination angle of the building is not required to be monitored in real time, resources can be saved, and meanwhile, the inclination angle of the building can be monitored more accurately;
2. the building inclination monitoring system can monitor not only the building inclination, but also the building inclination process, so that the analysis of the building inclination track is more accurate;
3. by determining the influence coefficient of the external factors on the inclination of the building, the inclination track of the building can be analyzed more accurately.
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Fig. 1 is a schematic flow chart of a building inclination monitoring method according to an embodiment of the present disclosure.
Fig. 2 is a system diagram of a building inclination monitoring method according to an embodiment of the present disclosure.
Fig. 3 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
In the figure, 21, a preset module; 22. an acquisition module; 221. a monitoring data acquisition unit; 222. a news item acquisition unit; 23. a determination module; 24. a judgment module; 241. an inclination determination unit; 242. an angular velocity determination unit; 25. an influence coefficient determination module; 26. re-determining the module; 301. a CPU; 302. a ROM; 303. a RAM; 304. a bus; 305. an I/O interface; 306. an input section; 307. an output section; 308. a storage section; 309. a communication section; 310. a driver; 311. a removable media.
Detailed Description
The present application is described in further detail below with reference to fig. 1.
The present embodiment is only for explaining the present application, and it is not limited to the present application, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present application.
The embodiment of the application provides a building inclination monitoring method, which is mainly applied to a monitoring device for monitoring the inclination of a high-rise building. The monitoring device comprises a monitoring module, a control module, an alarm module, a power supply module and a data transmission module. The monitoring module is used for monitoring the inclination of a high-rise building and outputting an inclination monitoring signal. The control module is connected with the detection module and used for outputting an alarm signal when the inclination reflected by the received inclination monitoring signal is lower than an inclination warning value. The alarm module is connected with the control module and used for giving an alarm when receiving the alarm signal. The power supply module is respectively connected with the monitoring module, the control module and the alarm module and used for supplying power.
In the process of monitoring the high-rise building, the monitoring frequency is controlled to change at any time according to the change of the inclination, the inclination of the high-rise building can be monitored in time, and early warning can be given relatively accurately. Of course, compared with the real-time monitoring mode in the related art, the method saves more resources.
The embodiments of the present application will be described in further detail with reference to the accompanying figure 1.
The embodiment of the application provides a building inclination monitoring method, and the main flow of the method is described as follows.
As shown in fig. 1:
step S101: a unit change amount Δ θ of inclination is set, which is an ideal difference of the monitoring results of the inclination monitoring two consecutive times.
It will be appreciated that the unit change in inclination Δ θ is a part of determining the time node at which each monitoring of the inclination of the tall building is performed. In other words, the monitoring frequency of the inclination of the high-rise building is performed with reference to the inclination unit change amount Δ θ, that is, the monitoring module should perform the monitoring of the inclination of the high-rise building once every time the inclination of the high-rise building generates the inclination of the inclination unit change amount Δ θ. However, since the high-rise building is not inclined at a constant speed, it is difficult to monitor that the high-rise building has changed in inclination unit change amount Δ θ during two consecutive times of inclination monitoring when monitoring the inclination of the high-rise building, and therefore, the inclination unit change amount Δ θ can be understood as an ideal difference of the monitoring results of two consecutive times of inclination monitoring. The inclination unit variation Δ θ is a preset value, and considering the actual slow inclination speed and monitoring timeliness of the high-rise building, the inclination unit variation Δ θ may be set to 0.1 °, and of course, may be adaptively adjusted according to actual requirements.
Step S102: acquiring time node T for monitoring inclination for the (n-2) th timen-2And the monitoring result thetan-2Time node T for monitoring inclination for (n-1) th timen-1And the monitoring result thetan-1And determining the angular velocity omega of the building inclination during the (n-2) th inclination monitoring to the (n-1) th inclination monitoring.
Step S103: determining a time node T of the nth gradient monitoring according to the unit change quantity delta theta of the gradient and the angular speed omega of the building gradient from the nth-2 gradient monitoring to the nth-1 gradient monitoringn。
First, n is an integer greater than 2.
Secondly, the time node T of the nth gradient monitoring is determinednIt is necessary to know the time node T of the n-2 th inclination monitoringn-2And time node T of the n-1 th inclination monitoringn-1. Therefore, at the time node T where the 1 st inclination is obtained1Then, after the initial monitoring period, obtaining the time node T of the 2 nd inclination monitoring again2The time node T of the nth inclination monitoring can be determined in the above mannern. Wherein, the initial monitoring period is also a preset value. In practical terms, since the inclination of a high-rise building may normally change 10 days, a month or more, the initial monitoring period may be set to 10 days, and of course, the duration of the initial monitoring period may be shortened or increased as required.
It can be understood that the monitoring result theta of the n-2 nd inclination monitoringn-2And the monitoring result theta of the n-1 th inclination monitoringn-1Is obtained directly from the monitoring module. Generally, the monitoring modules are matched with corresponding time marks, and each time the monitoring module monitors a high-rise building, a corresponding time node is generated, so that the control module can conveniently obtain a monitoring result theta of inclination monitoring for the (n-2) th timen-2And the monitoring result theta of the n-1 th inclination monitoringn-1While obtaining the (n-2) th gradient monitorMeasured time node Tn-2And time node T of the n-1 th inclination monitoringn-1. Among them, the technology of generating time nodes while monitoring belongs to the mature technology in the related field, so it will not be explained herein too much.
Further, in order to more accurately determine the time node T of the nth inclination monitoringnIt is known that the inclination unit change amount Δ θ is a constant value, and thus the angular velocity ω of the building inclination during the first two inclination monitoring periods is defaulted to the current inclination velocity of the high-rise building, thereby determining the time required for the high-rise building to incline the inclination unit change amount Δ θ again, i.e., determining the time node T of the nth inclination monitoringn. Specifically, the time node T for monitoring the nth inclinationnIn inverse proportion to the angular velocity omega of the building inclination from the (n-2) th inclination monitoring to the (n-1) th inclination monitoring, i.e. the time node T of the (n) th inclination monitoringnThe following relationship is satisfied:
wherein the angular velocity ω of the building inclination during the n-2 th inclination monitoring to the n-1 th inclination monitoring satisfies the following relationship:
wherein, Tn-1-Tn-2Time node T for monitoring inclination of (n-1) < th > timen-1Time node T monitored with the n-2 th gradientn-2The monitoring period of (2).
It is apparent that the change amount of the inclination of the high-rise building for determining the angular velocity ω of the inclination of the building during the n-2 nd inclination monitoring to the n-1 st inclination monitoring is not the preset inclination unit change amount Δ θ. When the time node T of the nth gradient monitoring needs to be determinednThen, the monitoring result theta of the inclination monitoring for the (n-1) th time is always completedn-1Thus obtainingMonitoring result theta by monitoring the n-2 th inclinationn-2And the monitoring result theta of the n-1 th inclination monitoringn-1The actual change in the inclination of the tall building obtained by the difference is more accurate than the unit change in inclination Δ θ. Since the actual difference is selected as the amount of change in the inclination of the building during the (n-2) th to (n-1) th inclination monitoring, the angular velocity ω of the inclination of the building during the (n-2) th to (n-1) th inclination monitoring obtained from the above relationship is a more accurate value, i.e., closer to the angular velocity of the current inclination of the high-rise building.
The method for determining the monitoring frequency based on monitoring the inclination of the high-rise building under the normal condition can accurately draw the inclination track of the high-rise building according to the monitoring result of each inclination monitoring and the angular speed of the inclination of the high-rise building before each monitoring. In fact, the inclination of the high-rise building is easily affected by the external earth crust activity, and an abnormal variation is generated, so as to accelerate the inclination degree of the high-rise building, and for this reason, the method for monitoring the inclination of the building according to the embodiment of the present application further includes:
step S104: and networking and acquiring news items related to the crustal sports in real time, wherein the news items related to the crustal sports comprise a plurality of characteristic information.
The news items related to the crustal sports are natural disasters such as earthquakes and volcanic eruptions which affect the crustal sports. Specifically, the obtained news item includes a plurality of feature information, and the feature information at least includes a disaster type, a disaster level, and a disaster distance. Taking earthquake disaster as an example, the disaster type is earthquake, and the earthquake can be divided into nine grades according to the energy emitted by the earthquake source. It will be appreciated that different levels of seismic sources and their distance from the current high-rise building will have different effects on the current high-rise building. Therefore, it is necessary to extract characteristic information that can affect the inclination of a high-rise building from news items. For example, as for news items about tornadoes, the wind power level, the direction of movement of the tornadoes, the duration, and the change in the wind power level may be used as the feature information.
Step S105: and calling a news influence coefficient model, and determining the influence coefficient of the current news item on the building according to the news item influence coefficient model and various feature information in the current news.
The news influence coefficient model is a model capable of determining influence coefficients of current news items on buildings according to various feature information, and comprises parameters such as the types of existing natural disasters, the disaster grades of various natural disasters and the disaster degree in the spread range of various natural disasters. When various kinds of characteristic information are selected from the characteristic information, the corresponding influence coefficients can be obtained. The technology for generating the correlation model according to the various parameters is a mature technology in the related art, and therefore, will not be described herein too much.
Step S106: redetermining time node T for monitoring the nth inclination according to influence coefficientsn。
It is worth mentioning that the time node T for the nth slope monitoring is determined according to the influence coefficientnThere are two ways to make the adjustment: the first method is to directly shorten the monitoring period between the nth gradient monitoring and the (n-1) th gradient monitoring according to the influence coefficient so as to monitor the time node T of the nth gradient monitoringnAhead of time. The other method is that the angular speed omega of the building inclination during the period from the n-2 th inclination monitoring to the n-1 st inclination monitoring is increased according to the influence coefficient, and the time node T for monitoring the nth inclination is further reachednThe effect of the advance.
Specifically, there is a definite relationship between the monitoring period and the influence coefficient between the nth inclination monitoring and the n-1 st inclination monitoring, or between the angular velocity ω of the building inclination during the n-2 nd inclination monitoring and the n-1 st inclination monitoring and the influence coefficient, that is, the angular velocity ω of the building inclination during the monitoring period between the nth inclination monitoring and the n-1 st inclination monitoring or the n-2 nd inclination monitoring and the n-1 st inclination monitoring varies with the change of the influence coefficient.
In one example, assuming that the monitoring period between the nth inclination monitoring and the (n-1) th inclination monitoring is in inverse proportion to the influence coefficient, if the influence coefficient is 1.1, the monitoring period between the nth inclination monitoring and the (n-1) th inclination monitoring is 1.1 times of the newly determined monitoring period between the nth inclination monitoring and the (n-1) th inclination monitoring.
In another example, assuming that the angular velocity ω of the building tilt during the (n-2) th to (n-1) th tilt monitoring is in a direct proportion to the influence coefficient, if the influence coefficient is 1.1, the angular velocity ω of the building tilt during the (n-2) th tilt monitoring to the (n-1) th tilt monitoring is 1.1 times the angular velocity ω of the building tilt during the original (n-2) th tilt monitoring to the (n-1) th tilt monitoring.
By the method, the time node T for monitoring the nth inclination is determined again after the natural disaster happensnThe method can monitor the inclination of the high-rise building in time, know the influence of sudden natural disasters on the inclination of the high-rise building in time, and can analyze and obtain the inclination track of the high-rise building more accurately.
In addition, in order to better understand the inclination degree of a high-rise building and make early warning, an inclination warning value and an angular velocity warning value are set.
When the time node T of the nth gradient monitoring is determinednThen, when the time node T of the nth gradient monitoringnWhen the inclination reaches the preset value, acquiring a monitoring result theta of monitoring the nth inclinationnAnd determining the angular velocity omega of the building inclination during the (n-1) th inclination monitoring to the n-th inclination monitoring. Monitoring result theta for monitoring inclination of nth timenJudging to judge the monitoring result theta of the nth gradient monitoringnAnd whether the inclination is lower than the inclination warning value or not is judged, if so, a first alarm signal is output, and if not, the first alarm signal is not output. Meanwhile, the angular velocity omega of the building inclination during the period from the inclination monitoring of the (n-1) th time to the inclination monitoring of the nth time is judged, whether the current angular velocity exceeds an angular velocity warning value or not is judged, if yes, a first alarm signal is output, and if not, a second alarm signal is not output.
Therefore, the inclination degree of the high-rise building can be mastered in real time through monitoring the inclination degree of the high-rise building, and the inclination degree of the high-rise building can be mastered through monitoring the inclination speed of the high-rise building, so that the early warning can be more accurately realized.
Fig. 2 is a system diagram of a building inclination monitoring system according to an embodiment of the present application.
A building inclination monitoring system as shown in fig. 2 comprises a presetting module 21, an obtaining module 22, a determining module 23, a judging module 24, an influence coefficient determining module 25 and a re-determining module 26, wherein:
the preset module 21 is configured to set a unit variation Δ θ of inclination, where the unit variation Δ θ of inclination is an ideal difference between monitoring results of two consecutive times of inclination monitoring, and is further configured to set an initial monitoring period, an inclination warning value, and an angular velocity warning value.
The acquisition module 22 includes a monitoring data acquisition unit 221 and a news item acquisition unit 222.
A monitoring data obtaining unit 221 for obtaining the time node T of the n-2 th inclination monitoringn-2And the monitoring result thetan-2Time node T for monitoring inclination for (n-1) th timen-1And the monitoring result thetan-1And the monitoring result theta of the nth inclination monitoringnAnd determining an angular velocity ω of the building inclination during the n-2 th inclination monitoring to the n-1 st inclination monitoring, where n is an integer greater than 2.
A news item acquiring unit 222, configured to acquire, in real time, a news item related to crustal sports, where the news item related to crustal sports includes a plurality of feature information.
A determining module 23 for determining a time node T of the nth inclination monitoring according to the unit change amount Delta theta of inclination and the angular velocity omega of the building inclination from the (n-2) th inclination monitoring to the (n-1) th inclination monitoringn。
The determination module 24 includes an inclination determination unit 241 and an angular velocity determination unit 242.
An inclination determination unit 241 for determining a monitoring result θ of the nth inclination monitoringnAnd if the inclination warning value is lower than the inclination warning value, outputting a first alarm signal.
And an angular velocity determination unit 242, configured to determine whether the angular velocity exceeds an angular velocity warning value, and if so, output a second alarm signal.
And the influence coefficient determining module 25 is configured to retrieve the news influence coefficient model, and determine an influence coefficient of the current news item on the building according to the news item influence coefficient model and the multiple kinds of feature information in the current news.
A re-determining module 26 for re-determining the time node T of the nth gradient monitoring according to the influence coefficientn。
Fig. 3 shows a schematic structural diagram of a terminal device suitable for implementing an embodiment of the present application.
As shown in fig. 3, the terminal device includes a Central Processing Unit (CPU)301 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)302 or a program loaded from a storage section into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for system operation are also stored. The CPU 301, ROM 302, and RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
The following components are connected to the I/O interface 305: an input portion 306 including a keyboard, a mouse, and the like; an output section 307 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 308 including a hard disk and the like; and a communication section 309 including a network interface card such as a LAN card, a modem, or the like. The communication section 309 performs communication processing via a network such as the internet. A drive 310 is also connected to the I/O interface 305 as needed. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 310 as necessary, so that a computer program read out therefrom is mounted into the storage section 308 as necessary.
In particular, according to embodiments of the present application, the process described above with reference to the flowchart fig. 1 may be implemented as a computer software program. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a machine-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 309, and/or installed from the removable medium 311. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 301.
It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present application may be implemented by software or hardware. The described units or modules may also be provided in a processor, and may be described as: a processor comprises a presetting module 21, an obtaining module 22, a determining module 23, a judging module 24, an influence coefficient determining module 25 and a re-determining module 26. Where the names of these units or modules do not in some cases constitute a limitation of the unit or module itself, for example, the obtaining module 22 may also be described as "time node T for obtaining the n-2 th inclination monitoringn-2And the monitoring result thetan-2Time node T for monitoring inclination for (n-1) th timen-1And the monitoring result thetan-1And the monitoring result theta of the nth inclination monitoringnAnd determining the angular velocity ω of the building inclination during the (n-2) th to (n-1) th inclination monitoring, where n is an integer greater than 2, and acquiring in real time information relating to the earth's crust movementA module for news items.
As another aspect, the present application also provides a computer-readable storage medium, which may be contained in the terminal device described in the above embodiments; or may exist separately without being assembled into the terminal device. The computer readable storage medium stores one or more programs which, when executed by one or more processors, perform the building inclination monitoring method described herein.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the application referred to in the present application is not limited to the embodiments with a particular combination of the above-mentioned features, but also encompasses other embodiments with any combination of the above-mentioned features or their equivalents without departing from the spirit of the application. For example, the above features may be replaced with (but not limited to) features having similar functions as those described in this application.
Claims (10)
1. A method of monitoring the inclination of a building, comprising:
setting a unit change quantity delta theta of inclination, wherein the unit change quantity delta theta of inclination is an ideal difference of monitoring results of two successive times of inclination monitoring;
acquiring time node T for monitoring inclination for the (n-2) th timen-2And the monitoring result thetan-2Time node T for monitoring inclination for (n-1) th timen-1And the monitoring result thetan-1And determining an angular velocity omega of the building inclination during the n-2 th inclination monitoring to the n-1 th inclination monitoring;
determining a time node T of the nth gradient monitoring according to the unit change quantity delta theta of the gradient and the angular speed omega of the building gradient from the nth-2 gradient monitoring to the nth-1 gradient monitoringnWherein n is an integer greater than 2.
2. The method of claim 1,
the angular velocity ω of the building inclination during the n-2 th inclination monitoring to the n-1 th inclination monitoring satisfies:
3. the method of claim 2,
time node T for monitoring nth gradientnSatisfies the following conditions:
4. the method of claim 3, further comprising:
setting an initial monitoring period;
time node T for obtaining 1 st inclination monitoring1And the monitoring result theta1Then, after the initial monitoring period, acquiring the time node T of the 2 nd inclination monitoring again2And the monitoring result theta2。
5. The method of claim 4, further comprising:
setting a slope warning value and an angular speed warning value;
obtaining the monitoring result theta of the nth gradient monitoringn；
Judging the monitoring result theta of the nth gradient monitoringnWhether the inclination is lower than the inclination warning value or not is judged, and if yes, a first alarm signal is output;
and judging whether the angular speed exceeds an angular speed warning value, and if so, outputting a second alarm signal.
6. The method of claim 5, further comprising:
networking and acquiring news items related to crustal sports in real time, wherein the news items related to the crustal sports comprise a plurality of characteristic information; calling a news influence coefficient model, and determining the influence coefficient of the current news item on the building according to the news item influence coefficient model and various feature information in the current news;
redetermining time node T for monitoring the nth inclination according to influence coefficientsn。
7. The method of claim 6, wherein the characteristic information comprises at least a type, a grade, and a distance.
8. A building inclination monitoring system, comprising,
the device comprises a presetting module (21) and a monitoring module, wherein the presetting module is used for setting a gradient unit variation delta theta, the gradient unit variation delta theta is an ideal difference value of monitoring results of two continuous gradient monitoring, and is also used for setting an initial monitoring period, a gradient warning value and an angular speed warning value;
the acquisition module (22) comprises a data acquisition module,
a monitoring data acquisition unit (221) for acquiring the time node T of the n-2 th inclination monitoringn-2And the monitoring result thetan-2Time node T for monitoring inclination for (n-1) th timen-1And the monitoring result thetan-1And the monitoring result theta of the nth inclination monitoringnAnd determining an angular velocity ω of the building inclination during the n-2 th inclination monitoring to the n-1 st inclination monitoring, where n is an integer greater than 2; and the number of the first and second groups,
a news item acquisition unit (222) for acquiring, in real time, a news item relating to the crustal sports, the news item relating to the crustal sports including a plurality of feature information;
a determination module (23) for determining a time node T of the nth inclination monitoring based on the unit change quantity delta theta of inclination and the angular velocity omega of the building inclination during the (n-2) th to (n-1) th inclination monitoringn；
The judging module (24) comprises a judging module,
an inclination determination unit (241) for determining a monitoring result theta of the nth inclination monitoringnWhether the inclination is lower than the inclination warning value or not is judged, and if yes, a first alarm signal is output; and the number of the first and second groups,
an angular velocity determination unit (242) for determining whether the angular velocity exceeds an angular velocity warning value, and if so, outputting a second alarm signal; the influence coefficient determining module (25) is used for calling a news influence coefficient model and determining the influence coefficient of the current news item on the building according to the news item influence coefficient model and various feature information in the current news; and the number of the first and second groups,
a re-determination module (26) for re-determining the time node T of the nth gradient monitoring according to the influence coefficientn。
9. An intelligent terminal, comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111424717.5A CN114166184B (en) | 2021-11-26 | Building inclination monitoring method, system, intelligent terminal and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111424717.5A CN114166184B (en) | 2021-11-26 | Building inclination monitoring method, system, intelligent terminal and storage medium |
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| CN114166184A true CN114166184A (en) | 2022-03-11 |
| CN114166184B CN114166184B (en) | 2024-07-09 |
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| CN110243340A (en) * | 2019-05-09 | 2019-09-17 | 上海潮旅信息科技有限公司 | A kind of inclination sedimentation monitoring system based on surveying and mapping technology and obliquity sensor |
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